Using advanced spreadsheet features for agricultural GIS applications PublicDeposited

Descriptions

A GIS analysis procedure was developed to explore relationships between imagery,
yield data, soil information, and other assessments of a field or orchard. A set of
conversion utilities, a spreadsheet, and an inexpensive shape file viewer were used
to manipulate, plot, and display data. Specific features described include
procedures used to: 1) display automated yield monitoring and aerial imagery data
as surface maps for visual analysis, 2) generate maps from gridded soil sampling
schemes that display either the collected soil data values or management
information derived from further manipulation of the sample values, 3) evaluate
relationships among data layers such as yield monitor, imagery, and soil data, 4)
conduct an upper boundary line evaluation of potential yield-limiting factors. The
analysis process is demonstrated on wheat, meadowfoam, and hazelnut data, from
crops grown in Oregon.